Overview

Dataset statistics

Number of variables19
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory171.9 B

Variable types

Numeric17
Categorical2

Dataset

Description기초생활수급자 장애수당 수급자 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=59UCM7SD7V1PPSTV9CTE25677563&infSeq=1

Alerts

전체수급자수(명) is highly overall correlated with 지체수급자수(명) and 13 other fieldsHigh correlation
지체수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
뇌병변수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
시각수급자수(명) is highly overall correlated with 전체수급자수(명) and 10 other fieldsHigh correlation
청각수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
언어수급자수(명) is highly overall correlated with 전체수급자수(명) and 10 other fieldsHigh correlation
안면수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
신장수급자수(명) is highly overall correlated with 전체수급자수(명) and 7 other fieldsHigh correlation
심장수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
간수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
호흡기수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
장루요루수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
뇌전증수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
지적수급자수(명) is highly overall correlated with 호흡기수급자수(명) and 3 other fieldsHigh correlation
정신수급자수(명) is highly overall correlated with 호흡기수급자수(명) and 3 other fieldsHigh correlation
자폐성수급자수(명) is highly overall correlated with 전체수급자수(명) and 6 other fieldsHigh correlation
장애정도 is highly overall correlated with 전체수급자수(명) and 10 other fieldsHigh correlation
기타수급자수(명) is highly imbalanced (86.5%)Imbalance
전체수급자수(명) has 1 (1.4%) zerosZeros
지체수급자수(명) has 17 (23.9%) zerosZeros
뇌병변수급자수(명) has 8 (11.3%) zerosZeros
시각수급자수(명) has 23 (32.4%) zerosZeros
청각수급자수(명) has 23 (32.4%) zerosZeros
언어수급자수(명) has 45 (63.4%) zerosZeros
안면수급자수(명) has 39 (54.9%) zerosZeros
신장수급자수(명) has 28 (39.4%) zerosZeros
심장수급자수(명) has 39 (54.9%) zerosZeros
간수급자수(명) has 40 (56.3%) zerosZeros
호흡기수급자수(명) has 39 (54.9%) zerosZeros
장루요루수급자수(명) has 40 (56.3%) zerosZeros
뇌전증수급자수(명) has 34 (47.9%) zerosZeros
지적수급자수(명) has 44 (62.0%) zerosZeros
정신수급자수(명) has 38 (53.5%) zerosZeros
자폐성수급자수(명) has 59 (83.1%) zerosZeros

Reproduction

Analysis started2024-04-11 04:56:13.531279
Analysis finished2024-04-11 04:56:41.207527
Duration27.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.0563
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:41.252153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2017
Q32019
95-th percentile2022
Maximum2023
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8024852
Coefficient of variation (CV)0.0013893936
Kurtosis-0.69374389
Mean2017.0563
Median Absolute Deviation (MAD)2
Skewness0.33330408
Sum143211
Variance7.8539235
MonotonicityDecreasing
2024-04-11T13:56:41.335429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2019 11
15.5%
2018 8
11.3%
2017 8
11.3%
2016 8
11.3%
2015 8
11.3%
2014 8
11.3%
2013 8
11.3%
2023 3
 
4.2%
2022 3
 
4.2%
2021 3
 
4.2%
ValueCountFrequency (%)
2013 8
11.3%
2014 8
11.3%
2015 8
11.3%
2016 8
11.3%
2017 8
11.3%
2018 8
11.3%
2019 11
15.5%
2020 3
 
4.2%
2021 3
 
4.2%
2022 3
 
4.2%
ValueCountFrequency (%)
2023 3
 
4.2%
2022 3
 
4.2%
2021 3
 
4.2%
2020 3
 
4.2%
2019 11
15.5%
2018 8
11.3%
2017 8
11.3%
2016 8
11.3%
2015 8
11.3%
2014 8
11.3%

장애정도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
1급(중증)
2급(중증)
3급(경증)
3급(중증)
4급(경증)
Other values (6)
36 

Length

Max length13
Median length6
Mean length6.7183099
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row심하지 않은 장애(경증)
2nd row심한 장애(경증)
3rd row심한 장애(중증)
4th row심하지 않은 장애(경증)
5th row심한 장애(경증)

Common Values

ValueCountFrequency (%)
1급(중증) 7
9.9%
2급(중증) 7
9.9%
3급(경증) 7
9.9%
3급(중증) 7
9.9%
4급(경증) 7
9.9%
5급(경증) 7
9.9%
6급(경증) 7
9.9%
해당없음 7
9.9%
심하지 않은 장애(경증) 5
7.0%
심한 장애(경증) 5
7.0%

Length

2024-04-11T13:56:41.424789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애(경증 10
11.0%
심한 10
11.0%
1급(중증 7
7.7%
2급(중증 7
7.7%
3급(경증 7
7.7%
3급(중증 7
7.7%
4급(경증 7
7.7%
5급(경증 7
7.7%
6급(경증 7
7.7%
해당없음 7
7.7%
Other values (3) 15
16.5%

전체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct56
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6239.9718
Minimum0
Maximum28926
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:41.531630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.5
median5693
Q37261
95-th percentile21815.5
Maximum28926
Range28926
Interquartile range (IQR)7254.5

Descriptive statistics

Standard deviation7613.5714
Coefficient of variation (CV)1.2201291
Kurtosis0.60509937
Mean6239.9718
Median Absolute Deviation (MAD)5686
Skewness1.1807013
Sum443038
Variance57966470
MonotonicityNot monotonic
2024-04-11T13:56:41.664178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
8.5%
2 3
 
4.2%
3 3
 
4.2%
7 2
 
2.8%
8 2
 
2.8%
5 2
 
2.8%
12 2
 
2.8%
4 2
 
2.8%
9 2
 
2.8%
14224 1
 
1.4%
Other values (46) 46
64.8%
ValueCountFrequency (%)
0 1
 
1.4%
1 6
8.5%
2 3
4.2%
3 3
4.2%
4 2
 
2.8%
5 2
 
2.8%
6 1
 
1.4%
7 2
 
2.8%
8 2
 
2.8%
9 2
 
2.8%
ValueCountFrequency (%)
28926 1
1.4%
26543 1
1.4%
24350 1
1.4%
22099 1
1.4%
21532 1
1.4%
17959 1
1.4%
17149 1
1.4%
16944 1
1.4%
16053 1
1.4%
15696 1
1.4%

지체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct43
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2506.338
Minimum0
Maximum13135
Zeros17
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:41.783989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3199
Q33712.5
95-th percentile11075.5
Maximum13135
Range13135
Interquartile range (IQR)3711.5

Descriptive statistics

Standard deviation3151.9813
Coefficient of variation (CV)1.2576042
Kurtosis3.557499
Mean2506.338
Median Absolute Deviation (MAD)3192
Skewness1.7841881
Sum177950
Variance9934985.9
MonotonicityNot monotonic
2024-04-11T13:56:41.908462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 17
23.9%
1 5
 
7.0%
2 4
 
5.6%
3 3
 
4.2%
4001 2
 
2.8%
3910 2
 
2.8%
7 2
 
2.8%
3843 1
 
1.4%
3939 1
 
1.4%
3516 1
 
1.4%
Other values (33) 33
46.5%
ValueCountFrequency (%)
0 17
23.9%
1 5
 
7.0%
2 4
 
5.6%
3 3
 
4.2%
7 2
 
2.8%
8 1
 
1.4%
10 1
 
1.4%
2871 1
 
1.4%
2940 1
 
1.4%
3199 1
 
1.4%
ValueCountFrequency (%)
13135 1
1.4%
12465 1
1.4%
11866 1
1.4%
11152 1
1.4%
10999 1
1.4%
4111 1
1.4%
4053 1
1.4%
4001 2
2.8%
3979 1
1.4%
3939 1
1.4%

뇌병변수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677.32394
Minimum0
Maximum3550
Zeros8
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:42.050246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median540
Q3892.5
95-th percentile2664.5
Maximum3550
Range3550
Interquartile range (IQR)891.5

Descriptive statistics

Standard deviation854.72433
Coefficient of variation (CV)1.2619136
Kurtosis2.1461041
Mean677.32394
Median Absolute Deviation (MAD)539
Skewness1.5123247
Sum48090
Variance730553.68
MonotonicityNot monotonic
2024-04-11T13:56:42.179160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 14
 
19.7%
0 8
 
11.3%
2 5
 
7.0%
11 2
 
2.8%
1466 2
 
2.8%
645 1
 
1.4%
710 1
 
1.4%
1450 1
 
1.4%
854 1
 
1.4%
705 1
 
1.4%
Other values (35) 35
49.3%
ValueCountFrequency (%)
0 8
11.3%
1 14
19.7%
2 5
 
7.0%
3 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
7 1
 
1.4%
11 2
 
2.8%
461 1
 
1.4%
523 1
 
1.4%
ValueCountFrequency (%)
3550 1
1.4%
3222 1
1.4%
2964 1
1.4%
2716 1
1.4%
2613 1
1.4%
1657 1
1.4%
1611 1
1.4%
1598 1
1.4%
1522 1
1.4%
1480 1
1.4%

시각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.71831
Minimum0
Maximum3432
Zeros23
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:42.290538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median247
Q3355
95-th percentile2731.5
Maximum3432
Range3432
Interquartile range (IQR)355

Descriptive statistics

Standard deviation867.2677
Coefficient of variation (CV)1.7389931
Kurtosis3.4533517
Mean498.71831
Median Absolute Deviation (MAD)246
Skewness2.1097478
Sum35409
Variance752153.26
MonotonicityNot monotonic
2024-04-11T13:56:42.400568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 23
32.4%
1 7
 
9.9%
247 2
 
2.8%
2 2
 
2.8%
320 2
 
2.8%
264 1
 
1.4%
342 1
 
1.4%
375 1
 
1.4%
1797 1
 
1.4%
273 1
 
1.4%
Other values (30) 30
42.3%
ValueCountFrequency (%)
0 23
32.4%
1 7
 
9.9%
2 2
 
2.8%
3 1
 
1.4%
244 1
 
1.4%
247 2
 
2.8%
251 1
 
1.4%
252 1
 
1.4%
253 1
 
1.4%
254 1
 
1.4%
ValueCountFrequency (%)
3432 1
1.4%
3227 1
1.4%
3001 1
1.4%
2765 1
1.4%
2698 1
1.4%
1944 1
1.4%
1907 1
1.4%
1858 1
1.4%
1797 1
1.4%
1712 1
1.4%

청각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean706.04225
Minimum0
Maximum7103
Zeros23
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:42.512575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median360
Q3734.5
95-th percentile4003
Maximum7103
Range7103
Interquartile range (IQR)734.5

Descriptive statistics

Standard deviation1365.5155
Coefficient of variation (CV)1.9340421
Kurtosis11.012734
Mean706.04225
Median Absolute Deviation (MAD)360
Skewness3.2773342
Sum50129
Variance1864632.5
MonotonicityNot monotonic
2024-04-11T13:56:42.619280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 23
32.4%
1 7
 
9.9%
744 3
 
4.2%
2 3
 
4.2%
7103 1
 
1.4%
360 1
 
1.4%
442 1
 
1.4%
565 1
 
1.4%
831 1
 
1.4%
854 1
 
1.4%
Other values (29) 29
40.8%
ValueCountFrequency (%)
0 23
32.4%
1 7
 
9.9%
2 3
 
4.2%
338 1
 
1.4%
343 1
 
1.4%
360 1
 
1.4%
414 1
 
1.4%
442 1
 
1.4%
499 1
 
1.4%
525 1
 
1.4%
ValueCountFrequency (%)
7103 1
1.4%
6121 1
1.4%
5097 1
1.4%
4255 1
1.4%
3751 1
1.4%
1624 1
1.4%
1319 1
1.4%
1313 1
1.4%
1159 1
1.4%
963 1
1.4%

언어수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.760563
Minimum0
Maximum232
Zeros45
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:42.729201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3177.5
95-th percentile220
Maximum232
Range232
Interquartile range (IQR)177.5

Descriptive statistics

Standard deviation92.34353
Coefficient of variation (CV)1.4259223
Kurtosis-1.3409912
Mean64.760563
Median Absolute Deviation (MAD)0
Skewness0.77493623
Sum4598
Variance8527.3276
MonotonicityNot monotonic
2024-04-11T13:56:42.842236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 45
63.4%
210 2
 
2.8%
1 2
 
2.8%
208 2
 
2.8%
174 2
 
2.8%
221 1
 
1.4%
175 1
 
1.4%
142 1
 
1.4%
191 1
 
1.4%
139 1
 
1.4%
Other values (13) 13
 
18.3%
ValueCountFrequency (%)
0 45
63.4%
1 2
 
2.8%
139 1
 
1.4%
142 1
 
1.4%
153 1
 
1.4%
174 2
 
2.8%
175 1
 
1.4%
180 1
 
1.4%
182 1
 
1.4%
184 1
 
1.4%
ValueCountFrequency (%)
232 1
1.4%
226 1
1.4%
222 1
1.4%
221 1
1.4%
219 1
1.4%
210 2
2.8%
208 2
2.8%
195 1
1.4%
191 1
1.4%
190 1
1.4%

안면수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8309859
Minimum0
Maximum24
Zeros39
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:42.929319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318.5
95-th percentile22
Maximum24
Range24
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation9.179147
Coefficient of variation (CV)1.3437514
Kurtosis-1.3944346
Mean6.8309859
Median Absolute Deviation (MAD)0
Skewness0.73595163
Sum485
Variance84.25674
MonotonicityNot monotonic
2024-04-11T13:56:43.018237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 39
54.9%
19 8
 
11.3%
22 4
 
5.6%
2 4
 
5.6%
20 4
 
5.6%
18 3
 
4.2%
17 2
 
2.8%
3 2
 
2.8%
13 1
 
1.4%
21 1
 
1.4%
Other values (3) 3
 
4.2%
ValueCountFrequency (%)
0 39
54.9%
1 1
 
1.4%
2 4
 
5.6%
3 2
 
2.8%
4 1
 
1.4%
13 1
 
1.4%
17 2
 
2.8%
18 3
 
4.2%
19 8
 
11.3%
20 4
 
5.6%
ValueCountFrequency (%)
24 1
 
1.4%
22 4
5.6%
21 1
 
1.4%
20 4
5.6%
19 8
11.3%
18 3
 
4.2%
17 2
 
2.8%
13 1
 
1.4%
4 1
 
1.4%
3 2
 
2.8%

신장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.957746
Minimum0
Maximum444
Zeros28
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:43.110538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q323.5
95-th percentile350.5
Maximum444
Range444
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation117.83177
Coefficient of variation (CV)2.144043
Kurtosis2.789658
Mean54.957746
Median Absolute Deviation (MAD)1
Skewness2.0552901
Sum3902
Variance13884.327
MonotonicityNot monotonic
2024-04-11T13:56:43.385395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 28
39.4%
1 10
 
14.1%
2 8
 
11.3%
5 2
 
2.8%
25 2
 
2.8%
24 2
 
2.8%
444 1
 
1.4%
12 1
 
1.4%
211 1
 
1.4%
23 1
 
1.4%
Other values (15) 15
21.1%
ValueCountFrequency (%)
0 28
39.4%
1 10
 
14.1%
2 8
 
11.3%
3 1
 
1.4%
4 1
 
1.4%
5 2
 
2.8%
6 1
 
1.4%
12 1
 
1.4%
23 1
 
1.4%
24 2
 
2.8%
ValueCountFrequency (%)
444 1
1.4%
394 1
1.4%
364 1
1.4%
360 1
1.4%
341 1
1.4%
297 1
1.4%
289 1
1.4%
265 1
1.4%
262 1
1.4%
235 1
1.4%

심장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.43662
Minimum0
Maximum75
Zeros39
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:43.473874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile67
Maximum75
Range75
Interquartile range (IQR)16

Descriptive statistics

Standard deviation24.612849
Coefficient of variation (CV)1.7048901
Kurtosis0.71851585
Mean14.43662
Median Absolute Deviation (MAD)0
Skewness1.533924
Sum1025
Variance605.79235
MonotonicityNot monotonic
2024-04-11T13:56:43.568633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 39
54.9%
1 5
 
7.0%
28 3
 
4.2%
64 3
 
4.2%
11 2
 
2.8%
63 2
 
2.8%
3 2
 
2.8%
16 2
 
2.8%
67 2
 
2.8%
10 1
 
1.4%
Other values (10) 10
 
14.1%
ValueCountFrequency (%)
0 39
54.9%
1 5
 
7.0%
2 1
 
1.4%
3 2
 
2.8%
9 1
 
1.4%
10 1
 
1.4%
11 2
 
2.8%
13 1
 
1.4%
16 2
 
2.8%
25 1
 
1.4%
ValueCountFrequency (%)
75 1
 
1.4%
73 1
 
1.4%
70 1
 
1.4%
67 2
2.8%
65 1
 
1.4%
64 3
4.2%
63 2
2.8%
56 1
 
1.4%
28 3
4.2%
26 1
 
1.4%

간수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.943662
Minimum0
Maximum239
Zeros40
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:43.674839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile160.5
Maximum239
Range239
Interquartile range (IQR)14

Descriptive statistics

Standard deviation56.01349
Coefficient of variation (CV)2.0789115
Kurtosis4.0041913
Mean26.943662
Median Absolute Deviation (MAD)0
Skewness2.2297827
Sum1913
Variance3137.5111
MonotonicityNot monotonic
2024-04-11T13:56:43.783943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 40
56.3%
14 3
 
4.2%
3 3
 
4.2%
11 2
 
2.8%
239 1
 
1.4%
126 1
 
1.4%
82 1
 
1.4%
23 1
 
1.4%
87 1
 
1.4%
1 1
 
1.4%
Other values (17) 17
23.9%
ValueCountFrequency (%)
0 40
56.3%
1 1
 
1.4%
2 1
 
1.4%
3 3
 
4.2%
4 1
 
1.4%
6 1
 
1.4%
10 1
 
1.4%
11 2
 
2.8%
13 1
 
1.4%
14 3
 
4.2%
ValueCountFrequency (%)
239 1
1.4%
199 1
1.4%
171 1
1.4%
167 1
1.4%
154 1
1.4%
145 1
1.4%
134 1
1.4%
126 1
1.4%
110 1
1.4%
97 1
1.4%

호흡기수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.859155
Minimum0
Maximum191
Zeros39
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:43.879375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile174.5
Maximum191
Range191
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation64.829071
Coefficient of variation (CV)2.1711623
Kurtosis1.3369569
Mean29.859155
Median Absolute Deviation (MAD)0
Skewness1.8111698
Sum2120
Variance4202.8085
MonotonicityNot monotonic
2024-04-11T13:56:43.985728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 39
54.9%
1 8
 
11.3%
2 4
 
5.6%
5 3
 
4.2%
166 2
 
2.8%
169 2
 
2.8%
4 2
 
2.8%
3 2
 
2.8%
175 1
 
1.4%
170 1
 
1.4%
Other values (7) 7
 
9.9%
ValueCountFrequency (%)
0 39
54.9%
1 8
 
11.3%
2 4
 
5.6%
3 2
 
2.8%
4 2
 
2.8%
5 3
 
4.2%
6 1
 
1.4%
164 1
 
1.4%
166 2
 
2.8%
169 2
 
2.8%
ValueCountFrequency (%)
191 1
1.4%
178 1
1.4%
176 1
1.4%
175 1
1.4%
174 1
1.4%
171 1
1.4%
170 1
1.4%
169 2
2.8%
166 2
2.8%
164 1
1.4%

장루요루수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.647887
Minimum0
Maximum318
Zeros40
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:44.085774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350.5
95-th percentile213
Maximum318
Range318
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation72.966548
Coefficient of variation (CV)1.7109065
Kurtosis3.9615573
Mean42.647887
Median Absolute Deviation (MAD)0
Skewness2.1105971
Sum3028
Variance5324.1171
MonotonicityNot monotonic
2024-04-11T13:56:44.179925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 40
56.3%
47 2
 
2.8%
48 2
 
2.8%
35 2
 
2.8%
318 1
 
1.4%
22 1
 
1.4%
60 1
 
1.4%
26 1
 
1.4%
134 1
 
1.4%
59 1
 
1.4%
Other values (19) 19
26.8%
ValueCountFrequency (%)
0 40
56.3%
19 1
 
1.4%
22 1
 
1.4%
26 1
 
1.4%
28 1
 
1.4%
30 1
 
1.4%
35 2
 
2.8%
37 1
 
1.4%
40 1
 
1.4%
47 2
 
2.8%
ValueCountFrequency (%)
318 1
1.4%
269 1
1.4%
249 1
1.4%
223 1
1.4%
203 1
1.4%
172 1
1.4%
170 1
1.4%
152 1
1.4%
146 1
1.4%
134 1
1.4%

뇌전증수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.915493
Minimum0
Maximum363
Zeros34
Zeros (%)47.9%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:44.276325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q384
95-th percentile347.5
Maximum363
Range363
Interquartile range (IQR)84

Descriptive statistics

Standard deviation114.51435
Coefficient of variation (CV)1.5705077
Kurtosis1.0189585
Mean72.915493
Median Absolute Deviation (MAD)1
Skewness1.5631094
Sum5177
Variance13113.536
MonotonicityNot monotonic
2024-04-11T13:56:44.376263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 34
47.9%
1 5
 
7.0%
76 2
 
2.8%
279 2
 
2.8%
276 2
 
2.8%
78 2
 
2.8%
84 2
 
2.8%
87 1
 
1.4%
44 1
 
1.4%
277 1
 
1.4%
Other values (19) 19
26.8%
ValueCountFrequency (%)
0 34
47.9%
1 5
 
7.0%
2 1
 
1.4%
20 1
 
1.4%
44 1
 
1.4%
64 1
 
1.4%
71 1
 
1.4%
73 1
 
1.4%
75 1
 
1.4%
76 2
 
2.8%
ValueCountFrequency (%)
363 1
1.4%
359 1
1.4%
354 1
1.4%
348 1
1.4%
347 1
1.4%
293 1
1.4%
291 1
1.4%
279 2
2.8%
277 1
1.4%
276 2
2.8%

지적수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.53521
Minimum0
Maximum3981
Zeros44
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:44.483271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile3299
Maximum3981
Range3981
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1181.1982
Coefficient of variation (CV)2.2648485
Kurtosis1.9894836
Mean521.53521
Median Absolute Deviation (MAD)0
Skewness1.9287574
Sum37029
Variance1395229.3
MonotonicityNot monotonic
2024-04-11T13:56:44.581140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 44
62.0%
1 5
 
7.0%
4 3
 
4.2%
2 3
 
4.2%
3 2
 
2.8%
3036 1
 
1.4%
2253 1
 
1.4%
2415 1
 
1.4%
2623 1
 
1.4%
2780 1
 
1.4%
Other values (9) 9
 
12.7%
ValueCountFrequency (%)
0 44
62.0%
1 5
 
7.0%
2 3
 
4.2%
3 2
 
2.8%
4 3
 
4.2%
8 1
 
1.4%
10 1
 
1.4%
2253 1
 
1.4%
2415 1
 
1.4%
2623 1
 
1.4%
ValueCountFrequency (%)
3981 1
1.4%
3667 1
1.4%
3594 1
1.4%
3372 1
1.4%
3226 1
1.4%
3165 1
1.4%
3036 1
1.4%
2870 1
1.4%
2780 1
1.4%
2623 1
1.4%

정신수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.1268
Minimum0
Maximum7302
Zeros38
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:44.677674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6384.5
Maximum7302
Range7302
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2282.1605
Coefficient of variation (CV)2.2525913
Kurtosis1.7719818
Mean1013.1268
Median Absolute Deviation (MAD)0
Skewness1.8917779
Sum71932
Variance5208256.7
MonotonicityNot monotonic
2024-04-11T13:56:44.779466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 38
53.5%
1 8
 
11.3%
2 6
 
8.5%
4 2
 
2.8%
3 2
 
2.8%
74 1
 
1.4%
6026 1
 
1.4%
4450 1
 
1.4%
4832 1
 
1.4%
5300 1
 
1.4%
Other values (10) 10
 
14.1%
ValueCountFrequency (%)
0 38
53.5%
1 8
 
11.3%
2 6
 
8.5%
3 2
 
2.8%
4 2
 
2.8%
5 1
 
1.4%
39 1
 
1.4%
74 1
 
1.4%
4450 1
 
1.4%
4832 1
 
1.4%
ValueCountFrequency (%)
7302 1
1.4%
6921 1
1.4%
6774 1
1.4%
6446 1
1.4%
6323 1
1.4%
6220 1
1.4%
6026 1
1.4%
5639 1
1.4%
5547 1
1.4%
5300 1
1.4%

자폐성수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5211268
Minimum0
Maximum35
Zeros59
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-11T13:56:44.875719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22.5
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.3046616
Coefficient of variation (CV)2.3585239
Kurtosis3.9856871
Mean3.5211268
Median Absolute Deviation (MAD)0
Skewness2.2468225
Sum250
Variance68.967404
MonotonicityNot monotonic
2024-04-11T13:56:44.973300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 59
83.1%
17 2
 
2.8%
35 1
 
1.4%
28 1
 
1.4%
27 1
 
1.4%
24 1
 
1.4%
21 1
 
1.4%
20 1
 
1.4%
18 1
 
1.4%
19 1
 
1.4%
Other values (2) 2
 
2.8%
ValueCountFrequency (%)
0 59
83.1%
11 1
 
1.4%
13 1
 
1.4%
17 2
 
2.8%
18 1
 
1.4%
19 1
 
1.4%
20 1
 
1.4%
21 1
 
1.4%
24 1
 
1.4%
27 1
 
1.4%
ValueCountFrequency (%)
35 1
1.4%
28 1
1.4%
27 1
1.4%
24 1
1.4%
21 1
1.4%
20 1
1.4%
19 1
1.4%
18 1
1.4%
17 2
2.8%
13 1
1.4%

기타수급자수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
0
69 
217
 
1
1
 
1

Length

Max length3
Median length1
Mean length1.028169
Min length1

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 69
97.2%
217 1
 
1.4%
1 1
 
1.4%

Length

2024-04-11T13:56:45.084039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T13:56:45.176960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 69
97.2%
217 1
 
1.4%
1 1
 
1.4%

Interactions

2024-04-11T13:56:39.312375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.343633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.849479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.494424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.150085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.693597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.403639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.820801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.248736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.627380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.060401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.491846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.036105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.437819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.738747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.207661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.915585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.387764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.614271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.922401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.584296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.219496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.802382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.479863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.896100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.331532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.693134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.144383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.569329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.101788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.508087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.965121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.282698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.991328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.489095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.702411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.009429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.698787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.300426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.886449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.564539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.966257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.406348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.758951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.227911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.644428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.175831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.589346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.035187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.360439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.080762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.586650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.787625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.147262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.799820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.379659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.976408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.643110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.039275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.484722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.826343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.309790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.725524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.249632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.665043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.115410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.435415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.161769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.668000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.870160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.226893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.893668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.474282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.062936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.719505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.115756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.562866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.896435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.396577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.822055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.339404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.741447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.194220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.543581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.239874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.762406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:15.958950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.311332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.148188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.553487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.315779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.799729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.187450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.637628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.969083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.492998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.903817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.416238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.814477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.270265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.621271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.317650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.846909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.031493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.407552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.223758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.642514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.400226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.873543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.264937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.728181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.049234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.572141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.984232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.494383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.890902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.348065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.704909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.417130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.917907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.096896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.485786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.296514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.716603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.476011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.962227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.506155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.824614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.151233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.638589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.054552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.571764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.963088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.419633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.777664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.486410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.988474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.166154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.558184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.372691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.793306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.552436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.049109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.570296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.905980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.227355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.713574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.125995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.649309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.033315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.497159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.867485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.574832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.055206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.237111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.637609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.444376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.869744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.627612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.136737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.645097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.980149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.288927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.779110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.190651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.720152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.100179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.570639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.957713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.673880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.130247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.311880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.716596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.522768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.989644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.708663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.241908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.730168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.057697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.364472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.853112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.265944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.822852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.170296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.657876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.064514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.754001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.198699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.380927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.790725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.601875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.126067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.786947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.332094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.796634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.131913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.427591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:29.922971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.343791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:32.909716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.234528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.733245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.148611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.825673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.276426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.455283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:17.887941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.698778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.250179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.868804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.412497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.876100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.212730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.499370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.000462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.442458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.004632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.329548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.809818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.241525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.912073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.351539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.525455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.005599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.812253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.339380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:22.986591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.491794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:25.943756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.282948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.760844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.071733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.543690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.092521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.415154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.882092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.329279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:38.988181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.425768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.601091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.126971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.902610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.417839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.090696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.574664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.017385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.370179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.826880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.147055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.631163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.187556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.511928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:35.955315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.427559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.074425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.507363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.679533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.245754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:19.988706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.493969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.189852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.663076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.103696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.465244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.902680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.241214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.710357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.277645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.594927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.033117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.524235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.157399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:40.585224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:16.761334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:18.327949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:20.066531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:21.578210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:23.299434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:24.744319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:26.175610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:27.551501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:28.972878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:30.382153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:31.780563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:33.359074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:34.666165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:36.109540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:37.828093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:56:39.235505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T13:56:45.253983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도장애정도전체수급자수(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)기타수급자수(명)
기준년도1.0000.0000.5120.3370.3670.1770.5100.1820.2860.2580.0000.5070.1870.3640.0000.2700.2830.4920.000
장애정도0.0001.0000.8330.8640.8680.8060.6980.7650.7850.7290.8730.6310.8890.7520.8980.7810.7710.5790.000
전체수급자수(명)0.5120.8331.0000.9390.9700.8550.8760.8650.7020.7810.8120.8540.9410.8190.8380.8050.8160.8050.000
지체수급자수(명)0.3370.8640.9391.0000.9270.7840.8530.5960.6440.7620.7230.7910.3950.9740.7570.1340.3850.0000.000
뇌병변수급자수(명)0.3670.8680.9700.9271.0000.8520.8850.7850.6640.7550.7970.9450.7770.8640.8230.6880.7680.7870.000
시각수급자수(명)0.1770.8060.8550.7840.8521.0000.9410.4120.4970.9560.8320.8120.0000.8900.6230.0000.0000.0000.000
청각수급자수(명)0.5100.6980.8760.8530.8850.9411.0000.4530.4660.9610.8820.9350.0000.9160.6860.0000.0000.0000.000
언어수급자수(명)0.1820.7650.8650.5960.7850.4120.4531.0000.8760.3930.6540.1030.8900.6870.8740.9050.7480.7880.000
안면수급자수(명)0.2860.7850.7020.6440.6640.4970.4660.8761.0000.6940.6780.6150.8750.7890.9120.7980.5740.7370.000
신장수급자수(명)0.2580.7290.7810.7620.7550.9560.9610.3930.6941.0000.9550.9350.0000.8940.6610.0000.0000.0000.000
심장수급자수(명)0.0000.8730.8120.7230.7970.8320.8820.6540.6780.9551.0000.7620.8640.6900.7850.7820.7350.7380.000
간수급자수(명)0.5070.6310.8540.7910.9450.8120.9350.1030.6150.9350.7621.0000.0000.8680.6450.0000.0000.0000.000
호흡기수급자수(명)0.1870.8890.9410.3950.7770.0000.0000.8900.8750.0000.8640.0001.0000.1630.8480.9990.8430.9100.000
장루요루수급자수(명)0.3640.7520.8190.9740.8640.8900.9160.6870.7890.8940.6900.8680.1631.0000.8850.0000.1430.0000.000
뇌전증수급자수(명)0.0000.8980.8380.7570.8230.6230.6860.8740.9120.6610.7850.6450.8480.8851.0000.6570.4800.5400.000
지적수급자수(명)0.2700.7810.8050.1340.6880.0000.0000.9050.7980.0000.7820.0000.9990.0000.6571.0000.9120.9110.000
정신수급자수(명)0.2830.7710.8160.3850.7680.0000.0000.7480.5740.0000.7350.0000.8430.1430.4800.9121.0000.9590.000
자폐성수급자수(명)0.4920.5790.8050.0000.7870.0000.0000.7880.7370.0000.7380.0000.9100.0000.5400.9110.9591.0000.000
기타수급자수(명)0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
2024-04-11T13:56:45.398507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애정도기타수급자수(명)
장애정도1.0000.000
기타수급자수(명)0.0001.000
2024-04-11T13:56:45.480212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체수급자수(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)장애정도기타수급자수(명)
기준년도1.0000.4080.2150.4100.2180.2690.3960.1300.2030.2230.2150.3440.2160.2670.2730.2560.2000.0000.000
전체수급자수(명)0.4081.0000.8460.9690.8010.8750.7720.7880.5100.8290.8090.6960.7760.8020.3000.3730.5440.5680.000
지체수급자수(명)0.2150.8461.0000.8230.8990.9080.6130.7800.6750.6750.8060.4320.8500.833-0.069-0.0320.1440.6690.000
뇌병변수급자수(명)0.4100.9690.8231.0000.7890.8530.8030.8090.4770.8240.8020.6670.7900.8050.2400.3310.5460.6420.000
시각수급자수(명)0.2180.8010.8990.7891.0000.8310.4760.5680.5040.5240.6550.3350.6770.633-0.195-0.1250.0800.5530.000
청각수급자수(명)0.2690.8750.9080.8530.8311.0000.6800.8230.6710.7700.8700.5370.9070.853-0.0360.0680.2600.4240.000
언어수급자수(명)0.3960.7720.6130.8030.4760.6801.0000.8350.4190.7520.6610.4620.7770.8080.2890.4270.5300.5070.000
안면수급자수(명)0.1300.7880.7800.8090.5680.8230.8351.0000.6070.8620.8480.5540.9190.9150.1440.2440.4630.5310.000
신장수급자수(명)0.2030.5100.6750.4770.5040.6710.4190.6071.0000.4640.6740.3880.7130.755-0.137-0.095-0.1290.4560.000
심장수급자수(명)0.2230.8290.6750.8240.5240.7700.7520.8620.4641.0000.9140.7990.8260.8190.3420.4500.7060.6610.000
간수급자수(명)0.2150.8090.8060.8020.6550.8700.6610.8480.6740.9141.0000.7320.9140.8760.0880.2250.4170.3500.000
호흡기수급자수(명)0.3440.6960.4320.6670.3350.5370.4620.5540.3880.7990.7321.0000.5160.5810.5360.5250.7100.7680.000
장루요루수급자수(명)0.2160.7760.8500.7900.6770.9070.7770.9190.7130.8260.9140.5161.0000.922-0.0470.0880.2700.4380.000
뇌전증수급자수(명)0.2670.8020.8330.8050.6330.8530.8080.9150.7550.8190.8760.5810.9221.0000.1160.1940.3240.7120.000
지적수급자수(명)0.2730.300-0.0690.240-0.195-0.0360.2890.144-0.1370.3420.0880.536-0.0470.1161.0000.7050.7480.5260.000
정신수급자수(명)0.2560.373-0.0320.331-0.1250.0680.4270.244-0.0950.4500.2250.5250.0880.1940.7051.0000.7100.5370.000
자폐성수급자수(명)0.2000.5440.1440.5460.0800.2600.5300.463-0.1290.7060.4170.7100.2700.3240.7480.7101.0000.4020.000
장애정도0.0000.5680.6690.6420.5530.4240.5070.5310.4560.6610.3500.7680.4380.7120.5260.5370.4021.0000.000
기타수급자수(명)0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-04-11T13:56:40.898796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T13:56:41.129735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년도장애정도전체수급자수(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)기타수급자수(명)
02023심하지 않은 장애(경증)28926131353550343271032212244428239631835407400
12023심한 장애(경증)17959332516572937342321717010174537539817302350
22023심한 장애(중증)39101130002002018200
32022심하지 않은 장애(경증)26543124653222322761212101939426199526934703900
42022심한 장애(경증)17149329116112777442221306316178477136676921280
52022심한 장애(중증)40711210060020110000
62021심하지 않은 장애(경증)2435011866296430015097226193642817122493590400
72021심한 장애(경증)16944334515982677351901807311191487335946774270
82021심한 장애(중증)298712102000014300
92020심하지 않은 장애(경증)2209910999271627654255219173602816722233480000
기준년도장애정도전체수급자수(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)기타수급자수(명)
6120146급(경증)535929405401541338000000000000
622014해당없음11000000000000000
6320131급(중증)30010002000000000
6420132급(중증)40200000000000200
6520133급(경증)12796336313712525491421927523175199222534450110
6620133급(중증)70102000000000400
6720134급(경증)615838437062997081742223130862930000
6820135급(경증)56933715523320744022111082165200000
6920136급(경증)517428714611499343000000000000
702013해당없음00000000000000000